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import gradio as gr
from fastai.vision.all import *
_all_ = ['is_cat', 'learn', 'classify_image',
'categories', 'image', 'label', 'examples', 'intf']
# cell
def is_cat(x): return x[0].isupper()
# cell
learn = load_learner('model.pkl')
# cell
categories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch(inline=False)
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